Sample collection

Set the following intervals for data collection.
Table 1. Data collection sample interval settings
Type of interval Duration in minutes
Real-time data collection 5
Short-term historical data collection 15
Long-term warehousing 60

The real-time data collection is based on the intervals that you set.

Table 2. Real-time data sample collection schedule
Time Real-time data collection
1:57 First row of data, 798 bytes, collected.
2:02 Second row of data collected (replaces first row of data, which is discarded).
2:07 Third row of data collected (replaces second row of data, which is discarded).
2:12 Fourth row of data collected (replaces third row of data, which is discarded).
2:17 Fifth row of data collected (replaces fourth row of data, which is discarded).
2:22 Sixth row of data collected (replaces fifth row of data, which is discarded).
2:27 Seventh row of data collected (replaces sixth row of data, which is discarded).
2:32 Eighth row of data collected (replaces seventh row of data, which is discarded).
2:37 Ninth row of data collected (replaces eight row of data, which is discarded).
2:42 Tenth row of data collected (replaces ninth row of data, which is discarded).
2:47 Eleventh row of data collected (replaces tenth row of data, which is discarded).
2:52 Twelfth row of data collected (replaces eleventh row of data, which is discarded).
2:57 Start of next cycle of real-time data collection.

The short-term historical data collection is based on the intervals that you set.

Table 3. Short-term historical data sample collection schedule
Time Short-term historical data collection
1:58 Start collection.
2:00 Use the most recent real-time collection to store the first row of data (816 bytes).
2:15 Use the most recent real-time collection to store the second row of data (816 bytes).
2:30 Use the most recent real-time collection to store the third row of data (816 bytes).
2:45 Use the most recent real-time collection to store the fourth row of data (816 bytes).
3:00 Use the most recent real-time collection to store the fifth row of data (816 bytes).

Every hour, the Warehouse Proxy Agent transfers all rows of data to the database as long-term historical data that is maintained by IBM® Tivoli® Data Warehouse. You can use the following formula to calculate the volume of data, in bytes, that is collected: 4 x 816 x n. In the formula, n stands for the total number of data sets in all data set groups.